Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple, Inc.; Cupertino (CA); In loco; USD 129.000 - 225.000; Tempo pieno

Descrizione del lavoro

Apple, Inc. in Cupertino, CA, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design and optimize system software that embeds ML capabilities, and you will integrate models into production pipelines with a focus on performance and reliability.

Join a cross-functional team to translate model requirements into scalable, high-quality software. You will contribute to architecture decisions, write clean production code, and help deliver delightful

Competenze

• Strong programming skills in Swift, C++, or Objective-C.
• Solid understanding of ML concepts, model inference and ML system design.
• Experience optimizing algorithms for resource-constrained platforms.
• BS or higher in CS, ML, or related fields.

Mansioni

• Integrating ML models into production software pipelines with focus on performance and reliability.
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment.
• Collaborating with ML engineers to translate model requirements into efficient system implementations.
• Optimization of existing systems for ML workloads and debugging complex software-ML integration issues.
• Working cross-functionally to drive requirements from concept through feature launch.
• Writing clean, maintainable production code with comprehensive documentation and tests.
• Contributing to architecture decisions, design reviews, and peer code reviews.

Conoscenze

Swift / C++ / Objective-C

ML fundamentals

Cross-functional collaboration

Problem solving

Strong communication

Formazione

BS in Computer Science / ML

Strumenti

Core ML

PyTorch

TensorFlow

Descrizione del lavoro

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Cupertino, California, United States Software and Services

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities.

Description

As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.

Responsibilities

• Integrating ML models into production software pipelines with focus on performance and reliability
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations
• Optimization of existing systems for ML workloads and debugging complex software-ML integration issues
• Working cross-functionally to drive requirements from concept through feature launch
• Writing clean, maintainable production code with comprehensive documentation and tests
• Contributing to architecture decisions, design reviews, and peer code reviews
• Acting as a force-multiplier by enabling both engineering and ML team members to be more productive

Minimum Qualifications

• Strong programming skills in Swift / C++ / Objective-C
• Solid understanding of machine learning concepts, model inference, and ML system design principles
• Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms
• Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions
• Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams
• BS (or higher) in Computer Science, Machine Learning, or related disciplines

Preferred Qualifications

• Demonstrated experience building production-quality software
• Experience building ML infrastructure, evaluation pipelines, or training systems
• Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,300 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.